| Detecting coastline change from satellite images based on beach slope estimation in a tidal flat | |
| Liu, Yanxia1; Huang, Haijun1; Qiu, Zhongfeng2; Fan, Jianyong3; Huang, HJ | |
| 2013-08-01 | |
| 发表期刊 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| ISSN | 0303-2434 |
| 卷号 | 23页码:165-176 |
| 文章类型 | Article |
| 摘要 | Beach heights and tidal variation have large impacts on the accuracy of estimates of coastline position and its historical changes of a wider and flatter beach based on remote sensing data. This study presents an approach to analysis of waterline movement based on the beach slope, estimated from two effective images with Landsat images data. Two images acquired at different stages of the tide were processed to delineate accurately the position of the waterline. Then waterlines were assigned heights using elevations predicted by a two-dimensional non-linear tidal assimilation model. Beach slope can be calculated piecewise using the heighted shorelines based on the equiangular triangle theory. The positions of the national tidal height datum coastline can be obtained by the beach slope calculation method to accurately monitor the changing of coastline. A change in the coastline of the southwest tidal flat of the Yellow River delta, from Tianshuigou to the Xiaoqing River mouth, was detected by combining field measurements of profiles and bathymetric data. The root mean squared error (RMSE) of the calculated slope of the intertidal zone was one order of magnitude less than the measured slope. The minimum error of self-consistency check is 0.2%. The RMSE between the coastlines estimated by the proposed method and those surveyed data varies from 53.98 m to 217.72 m. It is shown that this method is more suitable for the two years and over the time scales of shoreline change monitoring. To assess erosion/accretion patterns in the tidal flat, and the controlling factors, the volume of the beach was investigated as a possible indicator. The accepted coastline position and changes in the beach volume were used to monitor the changing pattern of accretion and erosion along the coast southwest of the recent Yellow River mouth. (C) 2012 Elsevier B.V. All rights reserved.; Beach heights and tidal variation have large impacts on the accuracy of estimates of coastline position and its historical changes of a wider and flatter beach based on remote sensing data. This study presents an approach to analysis of waterline movement based on the beach slope, estimated from two effective images with Landsat images data. Two images acquired at different stages of the tide were processed to delineate accurately the position of the waterline. Then waterlines were assigned heights using elevations predicted by a two-dimensional non-linear tidal assimilation model. Beach slope can be calculated piecewise using the heighted shorelines based on the equiangular triangle theory. The positions of the national tidal height datum coastline can be obtained by the beach slope calculation method to accurately monitor the changing of coastline. A change in the coastline of the southwest tidal flat of the Yellow River delta, from Tianshuigou to the Xiaoqing River mouth, was detected by combining field measurements of profiles and bathymetric data. The root mean squared error (RMSE) of the calculated slope of the intertidal zone was one order of magnitude less than the measured slope. The minimum error of self-consistency check is 0.2%. The RMSE between the coastlines estimated by the proposed method and those surveyed data varies from 53.98 m to 217.72 m. It is shown that this method is more suitable for the two years and over the time scales of shoreline change monitoring. To assess erosion/accretion patterns in the tidal flat, and the controlling factors, the volume of the beach was investigated as a possible indicator. The accepted coastline position and changes in the beach volume were used to monitor the changing pattern of accretion and erosion along the coast southwest of the recent Yellow River mouth. (C) 2012 Elsevier B.V. All rights reserved. |
| 关键词 | Coastlines Beach Gradient Volume Estimation Remote Sensing The Yellow River Delta |
| 学科领域 | Remote Sensing |
| DOI | 10.1016/j.jag.2012.12.005 |
| URL | 查看原文 |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS研究方向 | Remote Sensing |
| WOS类目 | Remote Sensing |
| WOS记录号 | WOS:000317159800015 |
| WOS关键词 | DIGITAL ELEVATION MODEL ; LANDSAT TM DATA ; YELLOW-RIVER DELTA ; WATERLINE EXTRACTION ; SHORELINE CHANGES ; SEA ; CHINA ; SAR ; CONSTRUCTION ; CONSTITUENTS |
| WOS标题词 | Science & Technology ; Technology |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.qdio.ac.cn/handle/337002/16297 |
| 专题 | 海洋地质与环境重点实验室 |
| 通讯作者 | Huang, HJ |
| 作者单位 | 1.Chinese Acad Sci, Inst Oceanol, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China 2.Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing 210044, Jiangsu, Peoples R China 3.Meteorol Sci Inst Jiangxi Prov, Nanchang 330046, Peoples R China |
| 第一作者单位 | 中国科学院海洋研究所 |
| 推荐引用方式 GB/T 7714 | Liu, Yanxia,Huang, Haijun,Qiu, Zhongfeng,et al. Detecting coastline change from satellite images based on beach slope estimation in a tidal flat[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2013,23:165-176. |
| APA | Liu, Yanxia,Huang, Haijun,Qiu, Zhongfeng,Fan, Jianyong,&Huang, HJ.(2013).Detecting coastline change from satellite images based on beach slope estimation in a tidal flat.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,23,165-176. |
| MLA | Liu, Yanxia,et al."Detecting coastline change from satellite images based on beach slope estimation in a tidal flat".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 23(2013):165-176. |
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